Comparison between parametric weiner filter and parametric projection filter in cortical equivalent dipole layer imaging

J. Hori, J. Lian, Bin He

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

The objective of this study is to explore suitable spatial filters for inverse estimation of cortical equivalent dipole layer imaging from the scalp electroencephalogram. The effects of incorporating signal and noise covariance into inverse procedures were examined by computer simulations. The parametric projection filter (PPF) and parametric Weiner filter (PWF) were applied to an ideal 3D head model under various noise conditions. The present simulation results suggest that the PPF has better performance than the PWF, when the correlation between the signal and noise is low, and the PWF performs better than the PPF when the correlation is high.

Original languageEnglish (US)
Pages (from-to)929-930
Number of pages2
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
StatePublished - Dec 1 2002
EventProceedings of the 2002 IEEE Engineering in Medicine and Biology 24th Annual Conference and the 2002 Fall Meeting of the Biomedical Engineering Society (BMES / EMBS) - Houston, TX, United States
Duration: Oct 23 2002Oct 26 2002

Keywords

  • Equivalent dipole layer imaging
  • High resolution EEG
  • Inverse problem
  • Parametric Weiner filter
  • Parametric projection filter
  • Signal and noise covariance

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